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Field
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Collaborative Research in Computational Neuroscience (CRCNS) grant and will focus on computational approaches to understanding neural systems and brain function. The successful candidate will be jointly
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: This position is part of an extramurally well-funded research program and offers excellent opportunities to contribute to high-impact publications and to develop an independent research trajectory, including
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. These changes would not affect the position duties as outlined. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks
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Application Deadline 4 Sep 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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professor. The position may also offer additional skills that are relevant to the postdoctoral researcher’s future career. Apply for this position to become part of our research environment and take the next
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape